Extracting diagnostic gait signatures for cerebral palsy patients
Lakany, H. (2003) Extracting diagnostic gait signatures for cerebral palsy patients. Gait and Posture, 18 (Supple). p. 31. ISSN 0966-6362
Full text not available in this repository.Request a copy from the Strathclyde authorAbstract
This research addresses the question of the existence of prominent diagnostic signatures for human walking extracted from kinematics gait data. The proposed method is based on transforming the joint motion trajectories using wavelets to extract spatio-temporal features which are then fed as input to a vector quantiser; a self-organising map for classification of walking patterns of individuals with and without pathology. We show that our proposed algorithm is successful in extracting features that successfully discriminate between individuals with and without locomotion impairment.
| Creators(s): |
Lakany, H.  ORCID: https://orcid.org/0000-0003-3079-0392;
| Item type: | Article |
|---|---|
| ID code: | 8259 |
| Notes: | ESMAC Abstracts. Gait & Posture. Volume 18, Supplement 2, October 2003, Pages 80-123 |
| Keywords: | human locomotion, gait analysis, feature extraction, self-organising maps, diagnostic signatures, Bioengineering, Rehabilitation, Orthopedics and Sports Medicine, Biophysics |
| Subjects: | Technology > Engineering (General). Civil engineering (General) > Bioengineering |
| Department: | Faculty of Engineering > Bioengineering |
| Depositing user: | Strathprints Administrator |
| Date deposited: | 05 Aug 2009 13:39 |
| Last modified: | 04 Aug 2020 00:58 |
| Related URLs: | |
| URI: | https://strathprints.strath.ac.uk/id/eprint/8259 |
| Export data: |
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)